ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Paper
Publisher : 2016 International Conference on Inventive Computation Technologies (ICICT)
Source : 2016 International Conference on Inventive Computation Technologies (ICICT) (2016)
Keywords : Acoustic modeling, CMU, Phoneme Language model, Speech recognition, Speech to text conversion, Sphinx-4
Campus : Bengaluru, Mysuru
School : School of Arts and Sciences, School of Engineering
Department : Computer Science
Verified : Yes
Year : 2016
Abstract : This paper investigates the complex problem of speech to text conversion of Kannada Language. We propose a novel Kannada Automated Speech to Text conversion System (ASTC). We train and test the Speech Processing System using CMUSphinx framework. CMU Sphinx is dynamic in nature with support for other languages along with English. We train the Acoustic model for Kannada speech with 1000 general spoken sentences and tested 150 sentences. We build our system utilizing features available in CMU Sphinx, thus showcasing the conceivable flexibility of this framework for Kannada voice to text conversion. In this paper, Kannada sentences with four to ten word length is researched. The speech conversion system permits ordinary people to speak to the computer in order to retrieve information in textual form. The number of alphabets in Kannada are 52. The system investigates extensibility of recognizing all letters and morphological variants of spoken Kannada words.
Cite this Research Publication : S. K. M, K.G., A., V., A. T., and Gupta, D., “Kannada speech to text conversion using CMU Sphinx”, in 2016 International Conference on Inventive Computation Technologies (ICICT), 2016.